GitHub, Git & DevOps · IN-DEPTH PROFILE

azure-deploy

Azure Deploy executes production deployment for an application that has already completed Azure Prepare and Azure Validate.

View listed source ↗Installation guide ↓
Best for

Azure teams shipping already-prepared workloads

What you get

Deploy a prepared application + Recover from deployment errors

Main limitation

It cannot prepare a new application or generate missing infrastructure; Azure Prepare owns that work.

First risk

Production and infrastructure changes. Deployment commands can create cost, change access, replace resources, or interrupt service. Verify the approved plan, subscription, environment, validation evidence, and destructive steps before execution.

EVIDENCE FRESHNESS

Three checks, kept separate

A recent source check is not a runtime test or security audit.

Upstream sourceChecked 2026-08-20

Pinned revision · ea76537e

Open pinned commit ↗
SkillSignal profileSource-grounded

Updated 2026-08-20

Runtime & securityNot independently verified

Source review does not certify behavior or safety.

30-SECOND BRIEF

What it does—and when it fits

Azure Deploy executes production deployment for an application that has already completed Azure Prepare and Azure Validate. It requires an existing .azure/deployment-plan.md with real validation proof, then runs the selected azd, Bicep, Terraform, or Azure deployment recipe with preflight checks, error recovery, post-deploy verification, and live RBAC confirmation.

INSTALL BY AGENT

Choose your Agent

Paths come from official Agent docs or the universal installer behind skills.sh. Compatibility still follows this Skill's record.

Native

This Skill's current record explicitly names this Agent. Still inspect scripts, permissions, and external dependencies first.

Project scope.claude/skills/azure-deploy/
Personal scope~/.claude/skills/azure-deploy/

Use project scope for team sharing and personal scope across repositories. The installer defaults to project scope; add -g for personal scope.

Install command (project scope)npx skills add microsoft/azure-skills --skill azure-deploy --agent claude-code
Official agent docs

Claude Code discovers custom Skill folders automatically at project or personal scope.

View path evidence ↗

TYPICAL WORKFLOW

A practical workflow

01

Deploy a prepared application

Execute azd up, azd deploy, Terraform apply, or Azure deployment commands for approved infrastructure.

02

Recover from deployment errors

Follow recipe-specific recovery guidance without bypassing the validated plan.

03

Verify the live result

Check endpoints, post-deployment tasks, and actual role assignments before reporting success.

THE TRADEOFFS

Advantages and tradeoffs

Notable strengths

  1. This profile is manually organized around the current upstream SKILL.md workflow.
  2. The capability boundary remains explicitly tied to microsoft/azure-skills.
  3. Core uses, limitations, and risks are separated for pre-install review.

Limitations

  1. It cannot prepare a new application or generate missing infrastructure; Azure Prepare owns that work.
  2. It must stop when the plan or validation proof is absent, stale, or not marked Validated by Azure Validate.

COMPARE THE TRADEOFF

Consider these close alternatives

These are deterministic nearby candidates, not paid placements or a universal ranking. Open the full profile before choosing.

01

Same job family · native to Claude Code + Codex

appinsights-instrumentation

AppInsights Instrumentation is a reference Skill for adding Azure Application Insights telemetry patterns and SDK configuration to supported web applications.
Tradeoff to check
It is guidance only; requests to add or change components must route to Azure Prepare.
First risk
Sensitive or excessive telemetry · High
Source state
Pinned · ea76537e
Open profile ↗
02

Same job family · native to Claude Code + Codex

azure-ai

Azure AI is Microsoft's compact service guide for Azure AI Search, Speech, Azure OpenAI, and Document Intelligence.
Tradeoff to check
It is a broad routing and reference Skill, not an end-to-end provisioning or production deployment workflow.
First risk
Sensitive content and billable AI operations · High
Source state
Pinned · ea76537e
Open profile ↗
03

Same job family · native to Claude Code + Codex

azure-aigateway

Azure AI Gateway configures Azure API Management as a governance layer for AI models, MCP tools, and agents.
Tradeoff to check
It requires Azure CLI for configuration and testing, and does not provision the APIM instance itself.
First risk
Misconfigured gateway policy or exposed key · High
Source state
Pinned · ea76537e
Open profile ↗
Compare more in the directory →

BEST FIT

Who it is for

→

Azure teams shipping already-prepared workloads

→

Operators needing guarded deployment execution

BEFORE YOU USE IT

Risks to review before use

High

Production and infrastructure changes

Deployment commands can create cost, change access, replace resources, or interrupt service. Verify the approved plan, subscription, environment, validation evidence, and destructive steps before execution.

Medium

Upstream instruction drift

Behavior can change with upstream updates. Record the commit used for important workflows and review updates before adoption.

SECURITY

What the permission profile means

  • Declared access remains governed by the current upstream SKILL.md and runtime requests.
  • Treat repository files, web content, and tool output as untrusted input.
  • SkillSignal has not independently executed or security-audited this package; external skills.sh labels are not SkillSignal certification.

Not a security certification. External ratings are attributed references. SkillSignal has not independently executed or security-reviewed this Skill.

INSIDE THE PACKAGE

Indexed files

SKILL.mdUpstream Skill instructionsSource-linked

TAGS

azuredeploymentproduction

Manually expanded from the current upstream SKILL.md and linked source at microsoft/azure-skills, checked 2026-08-20. This is an original summary, not an execution result or security certification.